<template>
    <!--地图挂载dom-->
    <div id="map">
    </div>
</template>

<script>
    //引入依赖
    import {Map, View} from 'ol'
    import XYZ from 'ol/source/XYZ'
    import TileLayer from 'ol/layer/Tile'
    import EChartsLayer from 'ol-echarts'

    export default {
        name: 'ProjectMigrationMap',
        props: {
            msg: String
        },
        mounted() {

            this.$nextTick(() => {
                //初始化地图
                let map = new Map({
                    target: 'map',//指定挂载dom，注意必须是id
                    layers: [
                        new TileLayer({
                            source: new XYZ({
                                url: 'http://cache1.arcgisonline.cn/arcgis/rest/services/ChinaOnline' +
                                    'StreetPurplishBlue/MapServer/tile/{z}/{y}/{x}'
                            })
                        })
                    ],
                    //配置视图
                    view: new View({
                        center: [113.24981689453125, 26.126468438108688],   //视图中心位置
                        projection: "EPSG:4326", //指定投影
                        zoom: 5   //缩放到的级别
                    })
                });

                let echartsLayer = new EChartsLayer(this.getOption());
                echartsLayer.appendTo(map)
            })
        },
        methods: {
            getOption: function () {
                let geoCoordMap = {
                    '上海': [121.4648, 31.2891],
                    '东莞': [113.8953, 22.901],
                    '东营': [118.7073, 37.5513],
                    '中山': [113.4229, 22.478],
                    '临汾': [111.4783, 36.1615],
                    '临沂': [118.3118, 35.2936],
                    '丹东': [124.541, 40.4242],
                    '丽水': [119.5642, 28.1854],
                    '乌鲁木齐': [87.9236, 43.5883],
                    '佛山': [112.8955, 23.1097],
                    '保定': [115.0488, 39.0948],
                    '兰州': [103.5901, 36.3043],
                    '包头': [110.3467, 41.4899],
                    '北京': [116.4551, 40.2539],
                    '北海': [109.314, 21.6211],
                    '南京': [118.8062, 31.9208],
                    '南宁': [108.479, 23.1152],
                    '南昌': [116.0046, 28.6633],
                    '南通': [121.1023, 32.1625],
                    '厦门': [118.1689, 24.6478],
                    '台州': [121.1353, 28.6688],
                    '合肥': [117.29, 32.0581],
                    '呼和浩特': [111.4124, 40.4901],
                    '咸阳': [108.4131, 34.8706],
                    '哈尔滨': [127.9688, 45.368],
                    '唐山': [118.4766, 39.6826],
                    '嘉兴': [120.9155, 30.6354],
                    '大同': [113.7854, 39.8035],
                    '大连': [122.2229, 39.4409],
                    '天津': [117.4219, 39.4189],
                    '太原': [112.3352, 37.9413],
                    '威海': [121.9482, 37.1393],
                    '宁波': [121.5967, 29.6466],
                    '宝鸡': [107.1826, 34.3433],
                    '宿迁': [118.5535, 33.7775],
                    '常州': [119.4543, 31.5582],
                    '广州': [113.5107, 23.2196],
                    '廊坊': [116.521, 39.0509],
                    '延安': [109.1052, 36.4252],
                    '张家口': [115.1477, 40.8527],
                    '徐州': [117.5208, 34.3268],
                    '德州': [116.6858, 37.2107],
                    '惠州': [114.6204, 23.1647],
                    '成都': [103.9526, 30.7617],
                    '扬州': [119.4653, 32.8162],
                    '承德': [117.5757, 41.4075],
                    '拉萨': [91.1865, 30.1465],
                    '无锡': [120.3442, 31.5527],
                    '日照': [119.2786, 35.5023],
                    '昆明': [102.9199, 25.4663],
                    '杭州': [119.5313, 29.8773],
                    '枣庄': [117.323, 34.8926],
                    '柳州': [109.3799, 24.9774],
                    '株洲': [113.5327, 27.0319],
                    '武汉': [114.3896, 30.6628],
                    '汕头': [117.1692, 23.3405],
                    '江门': [112.6318, 22.1484],
                    '沈阳': [123.1238, 42.1216],
                    '沧州': [116.8286, 38.2104],
                    '河源': [114.917, 23.9722],
                    '泉州': [118.3228, 25.1147],
                    '泰安': [117.0264, 36.0516],
                    '泰州': [120.0586, 32.5525],
                    '济南': [117.1582, 36.8701],
                    '济宁': [116.8286, 35.3375],
                    '海口': [110.3893, 19.8516],
                    '淄博': [118.0371, 36.6064],
                    '淮安': [118.927, 33.4039],
                    '深圳': [114.5435, 22.5439],
                    '清远': [112.9175, 24.3292],
                    '温州': [120.498, 27.8119],
                    '渭南': [109.7864, 35.0299],
                    '湖州': [119.8608, 30.7782],
                    '湘潭': [112.5439, 27.7075],
                    '滨州': [117.8174, 37.4963],
                    '潍坊': [119.0918, 36.524],
                    '烟台': [120.7397, 37.5128],
                    '玉溪': [101.9312, 23.8898],
                    '珠海': [113.7305, 22.1155],
                    '盐城': [120.2234, 33.5577],
                    '盘锦': [121.9482, 41.0449],
                    '石家庄': [114.4995, 38.1006],
                    '福州': [119.4543, 25.9222],
                    '秦皇岛': [119.2126, 40.0232],
                    '绍兴': [120.564, 29.7565],
                    '聊城': [115.9167, 36.4032],
                    '肇庆': [112.1265, 23.5822],
                    '舟山': [122.2559, 30.2234],
                    '苏州': [120.6519, 31.3989],
                    '莱芜': [117.6526, 36.2714],
                    '菏泽': [115.6201, 35.2057],
                    '营口': [122.4316, 40.4297],
                    '葫芦岛': [120.1575, 40.578],
                    '衡水': [115.8838, 37.7161],
                    '衢州': [118.6853, 28.8666],
                    '西宁': [101.4038, 36.8207],
                    '西安': [109.1162, 34.2004],
                    '贵阳': [106.6992, 26.7682],
                    '连云港': [119.1248, 34.552],
                    '邢台': [114.8071, 37.2821],
                    '邯郸': [114.4775, 36.535],
                    '郑州': [113.4668, 34.6234],
                    '鄂尔多斯': [108.9734, 39.2487],
                    '重庆': [107.7539, 30.1904],
                    '金华': [120.0037, 29.1028],
                    '铜川': [109.0393, 35.1947],
                    '银川': [106.3586, 38.1775],
                    '镇江': [119.4763, 31.9702],
                    '长春': [125.8154, 44.2584],
                    '长沙': [113.0823, 28.2568],
                    '长治': [112.8625, 36.4746],
                    '阳泉': [113.4778, 38.0951],
                    '青岛': [120.4651, 36.3373],
                    '韶关': [113.7964, 24.7028]
                };
                let BJData = [
                    [{name: '北京'}, {name: '上海', value: 95}],
                    [{name: '北京'}, {name: '广州', value: 90}],
                    [{name: '北京'}, {name: '大连', value: 80}],
                    [{name: '北京'}, {name: '南宁', value: 70}],
                    [{name: '北京'}, {name: '南昌', value: 60}],
                    [{name: '北京'}, {name: '拉萨', value: 50}],
                    [{name: '北京'}, {name: '长春', value: 40}],
                    [{name: '北京'}, {name: '包头', value: 30}],
                    [{name: '北京'}, {name: '重庆', value: 20}],
                    [{name: '北京'}, {name: '常州', value: 10}]
                ];
                let SHData = [
                    [{name: '上海'}, {name: '包头', value: 95}],
                    [{name: '上海'}, {name: '昆明', value: 90}],
                    [{name: '上海'}, {name: '广州', value: 80}],
                    [{name: '上海'}, {name: '郑州', value: 70}],
                    [{name: '上海'}, {name: '长春', value: 60}],
                    [{name: '上海'}, {name: '重庆', value: 50}],
                    [{name: '上海'}, {name: '长沙', value: 40}],
                    [{name: '上海'}, {name: '北京', value: 30}],
                    [{name: '上海'}, {name: '丹东', value: 20}],
                    [{name: '上海'}, {name: '大连', value: 10}]
                ];
                let GZData = [
                    [{name: '广州'}, {name: '福州', value: 95}],
                    [{name: '广州'}, {name: '太原', value: 90}],
                    [{name: '广州'}, {name: '长春', value: 80}],
                    [{name: '广州'}, {name: '重庆', value: 70}],
                    [{name: '广州'}, {name: '西安', value: 60}],
                    [{name: '广州'}, {name: '成都', value: 50}],
                    [{name: '广州'}, {name: '常州', value: 40}],
                    [{name: '广州'}, {name: '北京', value: 30}],
                    [{name: '广州'}, {name: '北海', value: 20}],
                    [{name: '广州'}, {name: '海口', value: 10}]
                ];
                let planePath = 'path://M1705.06,1318.313v-89.254l-319.9-221.799l0.073-208.063c0.521-84.662-26.629-121.796-63.961-121.491c-37.332-0.305-64.482,36.829-63.961,121.491l0.073,208.063l-319.9,221.799v89.254l330.343-157.288l12.238,241.308l-134.449,92.931l0.531,42.034l175.125-42.917l175.125,42.917l0.531-42.034l-134.449-92.931l12.238-241.308L1705.06,1318.313z';
                let convertData = function (data) {
                    let res = [];
                    for (let i = 0; i < data.length; i++) {
                        let dataItem = data[i];
                        let fromCoord = geoCoordMap[dataItem[0].name];
                        let toCoord = geoCoordMap[dataItem[1].name];
                        if (fromCoord && toCoord) {
                            res.push({
                                fromName: dataItem[0].name,
                                toName: dataItem[1].name,
                                coords: [fromCoord, toCoord]
                            });
                        }
                    }
                    return res;
                };
                let color = ['#a6c84c', '#ffa022', '#46bee9'];
                let series = [];
                [
                    ['北京', BJData], ['上海', SHData], ['广州', GZData]].forEach(
                    function (item, i) {
                        series.push({
                                name: item[0] + ' Top10',
                                type: 'lines',
                                zlevel: 1,
                                effect: {
                                    show: true,
                                    period: 6,
                                    trailLength: 0.7,
                                    color: '#fff',
                                    symbolSize: 3
                                },
                                lineStyle: {
                                    normal: {
                                        color: color[i],
                                        width: 0,
                                        curveness: 0.2
                                    }
                                },
                                data: convertData(item[1])
                            },
                            {
                                name: item[0] + ' Top10',
                                type: 'lines',
                                zlevel: 2,
                                effect: {
                                    show: true,
                                    period: 6,
                                    trailLength: 0,
                                    symbol: planePath,
                                    symbolSize: 15
                                },
                                lineStyle: {
                                    normal: {
                                        color: color[i],
                                        width: 1,
                                        opacity: 0.4,
                                        curveness: 0.2
                                    }
                                },
                                data: convertData(item[1])
                            },
                            {
                                name: item[0] + ' Top10',
                                type: 'effectScatter',
                                coordinateSystem: 'geo',
                                zlevel: 2,
                                rippleEffect: {
                                    brushType: 'stroke'
                                },
                                label: {
                                    normal: {
                                        show: true,
                                        position: 'right',
                                        formatter: '{b}'
                                    }
                                },
                                symbolSize: function (val) {
                                    return val[2] / 8;
                                },
                                itemStyle: {
                                    normal: {
                                        color: color[i]
                                    }
                                },
                                data: item[1].map(function (dataItem) {
                                    return {
                                        name: dataItem[1].name,
                                        value: geoCoordMap[dataItem[1].name].concat([dataItem[1].value])
                                    };
                                })
                            });
                    });
                return {
                    tooltip: {
                        trigger: 'item'
                    },
                    /*title: {
                    text: '模拟迁徙图',
                    subtext: '',
                    left: 'center',
                    textStyle: {
                    color: '#fff'
                    }
                    },*/
                    series: series
                };
            }
        }
    }
</script>

<style scoped>
    #map {
        width: 100%;
        height: 100%;
    }
</style>
